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Volume 45 Issue 12
Dec.  2023
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ZHANG Xia, YU Daojie, LIU Guangyi, BAI Yijie, WANG Yu. Countermeasures Against UAV Swarm Through Detection and Suppression of Fly Synchronization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4317-4326. doi: 10.11999/JEIT221084
Citation: ZHANG Xia, YU Daojie, LIU Guangyi, BAI Yijie, WANG Yu. Countermeasures Against UAV Swarm Through Detection and Suppression of Fly Synchronization[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4317-4326. doi: 10.11999/JEIT221084

Countermeasures Against UAV Swarm Through Detection and Suppression of Fly Synchronization

doi: 10.11999/JEIT221084
  • Received Date: 2022-08-16
  • Rev Recd Date: 2022-10-15
  • Available Online: 2023-04-06
  • Publish Date: 2023-12-26
  • This paper studies the detection and suppression mechanisms of fly synchronization of Unmanned Aerial Vehicle (UAV) swarm. Fly synchronization process is viewed as emergence in the complex system. A detection algorithm is proposed based on emergence identification with double thresholds. By simultaneously monitoring the entropy difference of flight synchronization process and network connectivity of the target system, the misjudgment of existing algorithms caused by ignoring the network status is overcomed, and the occurrence, achievement, or failure of fly synchronization is accurately identified, which provides a solid prerequisite for the timing control of the suppression mechanism. In-band radio interference behavior is designed under the constraint of average power. The interference behavior modeled from the perspective of degrading the target system’s communication capacity and the effect is analyzed through simulations. It is found that low-intensity continuous interference can effectively delay the fly synchronization process and prolong the time of that. What’s more, it has better concealment. Medium-intensity continuous interference can rapidly stop that process. Based on the above perception, for the first time, countermeasures for the UAV swarm’s fly synchronization are designed according to different operational intentions of delay and disruption. Simulation results show the effectiveness of the countermeasures.
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